Global Index on Responsible AI 2024
Deep Insights
Global Center on AI Governance (2024), 62 pp.
Contains 12 figures, 2 tables
"The First Edition of the GlRAI revealed that global progress toward responsible AI is lagging far behind the development and adoption of AI. There are major gaps across many parts of the world and in many core areas of responsible AI, especially those areas related to protecting the rights of vulnerable or marginalized groups. Top 10 takeaways:
1 AI governance does not translate into responsible AI.
2 Mechanisms ensuring the protection of human rights in the context of AI are limited.
3 International cooperation is an important cornerstone of current responsible AI practices.
4 Gender equality remains a critical gap in efforts to advance responsible AI.
5 Key issues of inclusion and equality in AI are not being addressed.
6 Workers in AI economies are not adequately protected.
7 Responsible AI must incorporate cultural and linguistic diversity.
8 There are major gaps in ensuring the safety, security and reliability of AI systems.
9 Universities and civil society are playing crucial roles in advancing responsible AI.
10 There is still a long way to achieve adequate levels of responsible AI worldwide." (Executive summary)
1 AI governance does not translate into responsible AI.
2 Mechanisms ensuring the protection of human rights in the context of AI are limited.
3 International cooperation is an important cornerstone of current responsible AI practices.
4 Gender equality remains a critical gap in efforts to advance responsible AI.
5 Key issues of inclusion and equality in AI are not being addressed.
6 Workers in AI economies are not adequately protected.
7 Responsible AI must incorporate cultural and linguistic diversity.
8 There are major gaps in ensuring the safety, security and reliability of AI systems.
9 Universities and civil society are playing crucial roles in advancing responsible AI.
10 There is still a long way to achieve adequate levels of responsible AI worldwide." (Executive summary)
PART 1: INTRODUCTION & BACKGROUND
Defining the Problem: Why the Global Index on Responsible AI -- What the Global Index on Responsible AI Measures -- Scope of the Global Index on Responsible AI
PART 2: RANKING AND SCORES
[Ranking of 138 countries]
PART 3: GLOBAL TRENDS
Responsible AI and AI Governance -- Protecting Human Rights -- International Cooperation in Responsible AI -- Responsible AI and Gender -- Responsible AI and Inequality -- AI and Labor Protections -- Cultural and Linguistic Diversity in AI -- AI Safety -- The Role of Civil Society and Universities in Responsible AI -- A Long Way To Go
PART 4: FUTURE OUTLOOK ON RESPONSIBLE AI
Recommendations: Diverse Pathways to Responsible AI -- What’s Next?
Defining the Problem: Why the Global Index on Responsible AI -- What the Global Index on Responsible AI Measures -- Scope of the Global Index on Responsible AI
PART 2: RANKING AND SCORES
[Ranking of 138 countries]
PART 3: GLOBAL TRENDS
Responsible AI and AI Governance -- Protecting Human Rights -- International Cooperation in Responsible AI -- Responsible AI and Gender -- Responsible AI and Inequality -- AI and Labor Protections -- Cultural and Linguistic Diversity in AI -- AI Safety -- The Role of Civil Society and Universities in Responsible AI -- A Long Way To Go
PART 4: FUTURE OUTLOOK ON RESPONSIBLE AI
Recommendations: Diverse Pathways to Responsible AI -- What’s Next?